ParamHelpers (1.10)

0 users

Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning.

Functions for parameter descriptions and operations in black-box optimization, tuning and machine learning. Parameters can be described (type, constraints, defaults, etc.), combined to parameter sets and can in general be programmed on. A useful OptPath object (archive) to log function evaluations is also provided.

Maintainer: Bernd Bischl
Author(s): Bernd Bischl [aut, cre], Michel Lang [aut], Jakob Bossek [aut], Daniel Horn [aut], Karin Schork [ctb], Jakob Richter [aut], Pascal Kerschke [aut]

License: BSD_2_clause + file LICENSE

Uses: BBmisc, checkmate, akima, ggplot2, lhs, plyr, testthat, GGally, emoa, gridExtra, reshape2, eaf, irace
Reverse depends: cmaesr, ecr, mlr, mlrCPO, mlrMBO, smoof
Reverse suggests: flacco, llama
Reverse enhances: liquidSVM

Released over 1 year ago.

11 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of ParamHelpers yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for ParamHelpers on google, google scholar, r-help, r-devel.

Visit ParamHelpers on R Graphical Manual.